

from math import pi, sqrt, tan


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			if side_length < 0:
						raise ValueError("""surface_area_cube() only accepts non-negative values""")
			return 6 * side_length**2


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__):

			'''simple docstring'''



			if length < 0 or breadth < 0 or height < 0:
						raise ValueError("""surface_area_cuboid() only accepts non-negative values""")
			return 2 * ((length * breadth) + (breadth * height) + (length * height))


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			if radius < 0:
						raise ValueError("""surface_area_sphere() only accepts non-negative values""")
			return 4 * pi * radius**2


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			if radius < 0:
						raise ValueError("""surface_area_hemisphere() only accepts non-negative values""")
			return 3 * pi * radius**2


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if radius < 0 or height < 0:
						raise ValueError("""surface_area_cone() only accepts non-negative values""")
			return pi * radius * (radius + (height**2 + radius**2) ** 0.5)


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__):

			'''simple docstring'''



			if radius_a < 0 or radius_a < 0 or height < 0:
						raise ValueError(
						    """surface_area_conical_frustum() only accepts non-negative values""")
			a_						:						List[str] 							= (height**2 + (radius_a - radius_a) ** 2) ** 0.5
			return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if radius < 0 or height < 0:
						raise ValueError("""surface_area_cylinder() only accepts non-negative values""")
			return 2 * pi * radius * (height + radius)


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if torus_radius < 0 or tube_radius < 0:
						raise ValueError("""surface_area_torus() only accepts non-negative values""")
			if torus_radius < tube_radius:
						raise ValueError(
						    """surface_area_torus() does not support spindle or self intersecting tori""")
			return 4 * pow(a__  ,	2) * torus_radius * tube_radius


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if length < 0 or width < 0:
						raise ValueError("""area_rectangle() only accepts non-negative values""")
			return length * width


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			if side_length < 0:
						raise ValueError("""area_square() only accepts non-negative values""")
			return side_length**2


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if base < 0 or height < 0:
						raise ValueError("""area_triangle() only accepts non-negative values""")
			return (base * height) / 2


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__):

			'''simple docstring'''



			if sidea < 0 or sidea < 0 or sidea < 0:
						raise ValueError("""area_triangle_three_sides() only accepts non-negative values""")
			elif sidea + sidea < sidea or sidea + sidea < sidea or sidea + sidea < sidea:
						raise ValueError("""Given three sides do not form a triangle""")
			a_						:						Optional[Any] 							= (sidea + sidea + sidea) / 2
			a_						:						Optional[int] 							= sqrt(
			    semi_perimeter
			    * (semi_perimeter - sidea)
			    * (semi_perimeter - sidea)
			    * (semi_perimeter - sidea))
			return area


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if base < 0 or height < 0:
						raise ValueError("""area_parallelogram() only accepts non-negative values""")
			return base * height


def 					_UpperCAmelCase				(						a__  ,	a__  ,	a__):

			'''simple docstring'''



			if basea < 0 or basea < 0 or height < 0:
						raise ValueError("""area_trapezium() only accepts non-negative values""")
			return 1 / 2 * (basea + basea) * height


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			if radius < 0:
						raise ValueError("""area_circle() only accepts non-negative values""")
			return pi * radius**2


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if radius_x < 0 or radius_y < 0:
						raise ValueError("""area_ellipse() only accepts non-negative values""")
			return pi * radius_x * radius_y


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if diagonal_a < 0 or diagonal_a < 0:
						raise ValueError("""area_rhombus() only accepts non-negative values""")
			return 1 / 2 * diagonal_a * diagonal_a


def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			if not isinstance(a__  ,	a__) or sides < 3:
						raise ValueError(
						    """area_reg_polygon() only accepts integers greater than or \
equal to three as number of sides""")
			elif length < 0:
						raise ValueError(
						    """area_reg_polygon() only accepts non-negative values as \
length of a side""")
			return (sides * length**2) / (4 * tan(pi / sides))
			return (sides * length**2) / (4 * tan(pi / sides))


if __name__ == "__main__":
	import doctest

	doctest.testmod(verbose=True)  # verbose so we can see methods missing tests

	print("""[DEMO] Areas of various geometric shapes: \n""")
	print(F"""Rectangle: {area_rectangle(10, 20) = }""")
	print(F"""Square: {area_square(10) = }""")
	print(F"""Triangle: {area_triangle(10, 10) = }""")
	print(F"""Triangle: {area_triangle_three_sides(5, 12, 13) = }""")
	print(F"""Parallelogram: {area_parallelogram(10, 20) = }""")
	print(F"""Rhombus: {area_rhombus(10, 20) = }""")
	print(F"""Trapezium: {area_trapezium(10, 20, 30) = }""")
	print(F"""Circle: {area_circle(20) = }""")
	print(F"""Ellipse: {area_ellipse(10, 20) = }""")
	print("""\nSurface Areas of various geometric shapes: \n""")
	print(F"""Cube: {surface_area_cube(20) = }""")
	print(F"""Cuboid: {surface_area_cuboid(10, 20, 30) = }""")
	print(F"""Sphere: {surface_area_sphere(20) = }""")
	print(F"""Hemisphere: {surface_area_hemisphere(20) = }""")
	print(F"""Cone: {surface_area_cone(10, 20) = }""")
	print(F"""Conical Frustum: {surface_area_conical_frustum(10, 20, 30) = }""")
	print(F"""Cylinder: {surface_area_cylinder(10, 20) = }""")
	print(F"""Torus: {surface_area_torus(20, 10) = }""")
	print(F"""Equilateral Triangle: {area_reg_polygon(3, 10) = }""")
	print(F"""Square: {area_reg_polygon(4, 10) = }""")
	print(F"""Reqular Pentagon: {area_reg_polygon(5, 10) = }""")





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


__snake_case				:      Optional[int]   		=			{
    """configuration_xlm""": ["""XLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMConfig""", """XLMOnnxConfig"""],
    """tokenization_xlm""": ["""XLMTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case				:      Optional[Any]   		=			[
	    """XLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """XLMForMultipleChoice""",
	    """XLMForQuestionAnswering""",
	    """XLMForQuestionAnsweringSimple""",
	    """XLMForSequenceClassification""",
	    """XLMForTokenClassification""",
	    """XLMModel""",
	    """XLMPreTrainedModel""",
	    """XLMWithLMHeadModel""",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case				:      Optional[Any]   		=			[
	    """TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TFXLMForMultipleChoice""",
	    """TFXLMForQuestionAnsweringSimple""",
	    """TFXLMForSequenceClassification""",
	    """TFXLMForTokenClassification""",
	    """TFXLMMainLayer""",
	    """TFXLMModel""",
	    """TFXLMPreTrainedModel""",
	    """TFXLMWithLMHeadModel""",
	]


if TYPE_CHECKING:
	from .configuration_xlm import XLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMConfig, XLMOnnxConfig
	from .tokenization_xlm import XLMTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_xlm import (
		    XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    XLMForMultipleChoice,
		    XLMForQuestionAnswering,
		    XLMForQuestionAnsweringSimple,
		    XLMForSequenceClassification,
		    XLMForTokenClassification,
		    XLMModel,
		    XLMPreTrainedModel,
		    XLMWithLMHeadModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_xlm import (
		    TF_XLM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFXLMForMultipleChoice,
		    TFXLMForQuestionAnsweringSimple,
		    TFXLMForSequenceClassification,
		    TFXLMForTokenClassification,
		    TFXLMMainLayer,
		    TFXLMModel,
		    TFXLMPreTrainedModel,
		    TFXLMWithLMHeadModel,
		)

else:
	import sys

	__snake_case				:      Union[str, Any]   		=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


